Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_094 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_094 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_094")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_094") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_094", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fcafcfe863b11e42b5b412112d8e0eb5423baece659bdd6c237d2d9fa1f4178
- Size of remote file:
- 5.78 kB
- SHA256:
- e1333e9e6cc662f794ce5e0fb996cfb0d9ff4bb8cbc9a21f45b24785ab06f7d1
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